be5ad8ce86
Удалены модули statements/{checks,columns,detect,header,lines,merge,statement,legacy_models}.py, словари
rules/statement_{headers,periods,checks}.yaml и их тесты. Словари форм и шаги 2–8 — в пакете arm_statements.
Rules без полей statement_*; покрытие словарей ОСВ (DICTIONARIES) без словарей форм. Документация сервиса
переписана под адаптер форм, контракт 2.0 и коды OSV_*.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BJKMLHdxMwSUeYcdkwqX4W
82 lines
3.5 KiB
Python
82 lines
3.5 KiB
Python
"""Помощники теста покрытия словарей (R-22): обход записей `Rules` и счётчик срабатываний `Pattern`.
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Вынесены из `tests/fixtures/test_rules_coverage.py`, чтобы сам механизм проверялся без каталога fixtures
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(`tests/unit/test_rules_coverage_helpers.py`).
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"""
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import re
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from collections import Counter
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from collections.abc import Iterator
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from typing import Any
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import pytest
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from pydantic import BaseModel
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from src.parser.rules import Pattern, Rules
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DICTIONARIES = {
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"headers": "osv_headers.yaml",
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"groups": "osv_groups.yaml",
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"checks": "osv_checks.yaml",
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"periods": "periods.yaml",
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"data_types": "data_types.yaml",
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}
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# Словарь без записей распознавания: список счетов проверок ОСВ — коды счетов, а не `Pattern` (в покрытии не участвует).
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# Словари форм ББ/ОФР живут в пакете `arm_statements` и его покрытие не проверяет этот тест.
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PATTERNLESS = frozenset({"osv_checks.yaml"})
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def iter_patterns(rules: Rules) -> Iterator[tuple[str, str, Pattern]]:
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"""(файл словаря, путь ключа, Pattern) для каждой записи распознавания; порядок — как в моделях."""
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for attribute, file_name in DICTIONARIES.items():
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yield from _walk(file_name, attribute_value=getattr(rules, attribute), path="")
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def _walk(file_name: str, attribute_value: Any, path: str) -> Iterator[tuple[str, str, Pattern]]:
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if isinstance(attribute_value, Pattern):
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yield file_name, path, attribute_value
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elif isinstance(attribute_value, BaseModel):
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for name in type(attribute_value).model_fields:
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yield from _walk(file_name, getattr(attribute_value, name), f"{path}.{name}" if path else name)
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elif isinstance(attribute_value, dict):
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for key, inner in attribute_value.items():
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yield from _walk(file_name, inner, f"{path}.{key}")
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elif isinstance(attribute_value, list | tuple):
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for index, inner in enumerate(attribute_value):
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yield from _walk(file_name, inner, f"{path}[{index}]")
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class MatchCounter:
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"""Считает совпадения `Pattern.search`/`search_normalized` по идентичности объекта паттерна."""
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def __init__(self) -> None:
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self.hits: Counter[int] = Counter()
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def install(self, monkeypatch: pytest.MonkeyPatch) -> None:
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original_search = Pattern.search
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original_normalized = Pattern.search_normalized
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counter = self
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def search(pattern: Pattern, text: str) -> re.Match[str] | None:
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found = original_search(pattern, text)
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if found is not None:
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counter.hits[id(pattern)] += 1
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return found
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def search_normalized(pattern: Pattern, normalized: str) -> re.Match[str] | None:
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found = original_normalized(pattern, normalized)
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if found is not None:
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counter.hits[id(pattern)] += 1
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return found
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monkeypatch.setattr(Pattern, "search", search)
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monkeypatch.setattr(Pattern, "search_normalized", search_normalized)
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def uncovered(rules: Rules, counter: MatchCounter) -> list[str]:
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return [
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f"{file_name}: {path}: {pattern.source!r}"
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for file_name, path, pattern in iter_patterns(rules)
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if counter.hits[id(pattern)] == 0
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]
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